Bioinformatics pertinent to lipid analysis in biological samples

Justin Ma; Ulises Arbelo; Yenifer Guerra; Katyayini Aribindi; Sanjoy K Bhattacharya; Daniel Pelaez

doi:10.1007/978-1-4939-6996-8_13

Bioinformatics pertinent to lipid analysis in biological samples

Justin Ma, Ulises Arbelo, Yenifer Guerra, Katyayini Aribindi, Sanjoy K Bhattacharya, Daniel Pelaez

Ophthalmology

Research output: Contribution to journal › Article

Abstract

Electrospray ionization mass spectrometry has revolutionized the way lipids are studied. In this work, we present a tutorial for analyzing class-specific lipid spectra obtained from a triple quadrupole mass spectrometer. The open-source software MZmine 2.21 is used, coupled with LIPID MAPS databases. Here, we describe the steps for lipid identification, ratiometric quantification, and briefly address the differences to the analyses when using direct infusion versus tandem liquid chromatography–mass spectrometry (LC–MS). We also provide a tutorial and equations for quantification of lipid amounts using synthetic lipid standards and normalization to a protein amount.

Original language	English (US)
Pages (from-to)	141-147
Number of pages	7
Journal	Methods in Molecular Biology
Volume	1609
DOIs	https://doi.org/10.1007/978-1-4939-6996-8_13
State	Published - 2017

Keywords

Bioinformatic analysis
Lipid profile
Lipidomic analysis
MZmine 2.21
Ratiometric quantification
Standards

ASJC Scopus subject areas

Molecular Biology
Genetics

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Ma, J., Arbelo, U., Guerra, Y., Aribindi, K., Bhattacharya, S. K., & Pelaez, D. (2017). Bioinformatics pertinent to lipid analysis in biological samples. Methods in Molecular Biology, 1609, 141-147. https://doi.org/10.1007/978-1-4939-6996-8_13

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AU - Pelaez, Daniel

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